| | --- |
| | base_model: openai/whisper-small |
| | datasets: |
| | - mozilla-foundation/common_voice_11_0 |
| | language: |
| | - hi |
| | library_name: peft |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: Whisper Small Diny |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # Whisper Small Diny |
| |
|
| | This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.3108 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0001 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 50 |
| | - num_epochs: 10 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 3.5747 | 1.0 | 4 | 3.8772 | |
| | | 3.5154 | 2.0 | 8 | 3.7508 | |
| | | 3.3537 | 3.0 | 12 | 3.5159 | |
| | | 3.1336 | 4.0 | 16 | 3.2003 | |
| | | 2.9481 | 5.0 | 20 | 2.8626 | |
| | | 2.5179 | 6.0 | 24 | 2.5561 | |
| | | 2.3247 | 7.0 | 28 | 2.2656 | |
| | | 2.1071 | 8.0 | 32 | 1.9826 | |
| | | 1.7406 | 9.0 | 36 | 1.6799 | |
| | | 1.5765 | 10.0 | 40 | 1.3108 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - PEFT 0.12.0 |
| | - Transformers 4.42.4 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
